Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33123
New Corneal Reflection Removal Method Used In Iris Recognition System
Authors: Walid Aydi, Nouri Masmoudi, Lotfi Kamoun
Abstract:
Images of human iris contain specular highlights due to the reflective properties of the cornea. This corneal reflection causes many errors not only in iris and pupil center estimation but also to locate iris and pupil boundaries especially for methods that use active contour. Each iris recognition system has four steps: Segmentation, Normalization, Encoding and Matching. In order to address the corneal reflection, a novel reflection removal method is proposed in this paper. Comparative experiments of two existing methods for reflection removal method are evaluated on CASIA iris image databases V3. The experimental results reveal that the proposed algorithm provides higher performance in reflection removal.Keywords: iris, pupil, specular highlights, reflection removal
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329056
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3216References:
[1] K. W. Bowyer, K. Hollingsworth, and P. J. Flynn, "Image understanding for iris biometrics: A survey," Computer Vision and Image Understanding, vol. 110, no. 5, 2007.
[2] Z. He, T. Tan, and Z. Sun, "Iris localization via pulling and pushing," 18th International Conference on Pattern Recognition, vol. 4, no. 4, 2006.
[3] J. Daugman, "How iris recognition works," IEEE Transactions on circuits and systems for video technology, vol. 14, no. 6, JANUARY 2004.
[4] G. J.Mohammed, H. B. Rong, and A. A. Al-Kazzaz, "A new localization algorithm for iris recognition," Information technology Journal, vol. 8, no. 7, 2009.
[5] H. B. Kekre, T. K. Sarode, V. A. Bharadi, A. Agrawal, R. Arora, and M. Nair, "Iris recognition using discrete cosin transform and kekreŠs fast codebook generation algorithm," International Conference and Workshop on Emerging Trends in Technology, no. 8, 2010.
[6] Nguyen, C. Fookes, and S. Sridharan, "Fusing shrinking and expanding active contour models for robust iris segmentation," 10th International Conference on Information Science, Signal Processing and their Applications, no. 9, octobre 2010.
[7] J. Daugman, "New method in iris recognition," IEEE Transactions on systems, man, and cyberneticsu┬░ partb:cybernetics, , vol. 37, no. 3, OCTOBER 2007.
[8] Z. He, T. Tan, Z. Sun, and X. Qiu, "Toward accurate and fast iris segmentation for iris biometrics," IEEE Transactions on Pattern analysis and machine intelligence, vol. 31, no. 1, SEPTEMBER 2009.
[9] A. A. jarjes, K. Wang, and G. J.Mohammed, "Gvf snake-based method for accurate pupil contour detection," Information technology Journal, vol. 9, no. 2, 2010.